title: Classification of brain tumours by CT-image Walsh spectra.
abstract: Besides clinical and anamnestic data, image information from CT-image data in the tumour border was used for classification of brain tumours. If the image regions are properly selected a classification rate of 85% is obtained with a hierarchic classifier, although our study is based on only 139 patients.
authors.affiliation: Klinik und Poliklinik für Neurologie und Psychiatrie, Bereiches Medizin (Charité), Humboldt-Universität Berlin, Federal Republic of Germany.
authors.forename: M
authors.initials: M
authors.lastname: Wolf
authors.forename: S
authors.initials: S
authors.lastname: Ziegengeist
authors.forename: M
authors.initials: M
authors.lastname: Michalik
authors.forename: F
authors.initials: F
authors.lastname: Bornholdt
authors.forename: S
authors.initials: S
authors.lastname: Michalik
authors.forename: B
authors.initials: B
authors.lastname: Meffert
mesh_terms: D000465:Algorithms; D001932:Brain Neoplasms / Q000145:classification / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D010363:Pattern Recognition, Automated; D014057:Tomography, X-Ray Computed